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Novel Consumer-to-Product Interactions with Context-Aware Embedded Platforms

  • Sönke Knoch
  • Matthieu Deru
  • Simon Bergweiler
  • Jens Haupert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8515)

Abstract

In this work we suggest a new device to instrument everyday objects in the end-user life cycle phase that makes everyday life easier for the elderly. The instrumentation of products, such as food, transforms them into smarter and more intelligent products. The equipped product notifies the user when food is spoiled and—interconnected with other smart products—advises against side effects that occur when food is consumed while a certain medication is ingested. We describe the considerations that were made towards a first prototype from a technical perspective. An interaction model was developed, a requirements analysis performed and several design and development considerations made. An architecture shows the information flow between sensors, actuators, and the Internet of Things. In the end, the prototype of a product sleeve is presented that is easy to handle and intuitive to operate. A feedback study is planned in the near future.

Keywords

Internet of Things smart/intelligent products prototyping 

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References

  1. 1.
    Statistisches Bundesamt (Destatis): Just released - statistical yearbook (October 2012), www.destatis.de/EN/PressServices/Press/pr/2012/10/PE12_351_p001.html (accessed at January 29, 2014)
  2. 2.
    Nesselrath, R., Haupert, J., Frey, J., Brandherm, B.: Supporting persons with special needs in their daily life in a smart home. In: 2011 7th International Conference on Intelligent Environments (IE), pp. 370–373 (2011)Google Scholar
  3. 3.
    P, G.: HOPE- eectronic gadget for home bound patients and elders: Create the future design contest (June 2012), http://contest.techbriefs.com/2012/entries/medical/2659 (accessed at January 29, 2014)
  4. 4.
    Dovgan, E., Lutrek, M., Pogorelc, B., Gradiek, A., Bruger, H., Gams, M.: Intelligent elderly-care prototype for fall and disease detection. Slovenian Medical Journal 80(11) (January 2011)Google Scholar
  5. 5.
    Ashton, K.: That ’internet of things’ thing (June 2009), www.rfidjournal.com/articles/view?4986 (accessed at January 29, 2014)
  6. 6.
    Weiser, M.: Some computer science issues in ubiquitous computing. Commun. ACM 36(7), 75–84 (1993)CrossRefGoogle Scholar
  7. 7.
    Zaslavsky, A., Perera, C., Georgakopoulos, D.: Sensing as a service and big data. arXiv:1301.0159 [cs] (January 2013), Proceedings of the International Conference on Advances in Cloud Computing (ACC), Bangalore, India (July 2012)Google Scholar
  8. 8.
    Brandherm, B., Kröner, A.: Digital product memories and product life cycle. In: 2011 7th International Conference on Intelligent Environments (IE), pp. 374–377 (2011)Google Scholar
  9. 9.
    Dey, A.K.: Understanding and using context. Personal Ubiquitous Comput. 5(1), 4–7 (2001)Google Scholar
  10. 10.
    Perera, C., Zaslavsky, A.B., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: A survey. IEEE Communications Surveys & Tutorials Journal abs/1305.0982 (2013)Google Scholar
  11. 11.
    Kröner, A., Haupert, J., Seiler, M., Kiesel, B., Schennerlein, B., Horn, S., Schreiber, D., Barthel, R.: Object memory modeling (September 2011), www.w3.org/2005/Incubator/omm/XGR-omm-20111026/ (accessed at January 29, 2014)
  12. 12.
    Haupert, J.: Domeman: A framework for representation, management, and utilization of digital object memories. In: Augusto, J.C., Bourdakis, V., Braga, D., Egerton, S., Fujinami, K., Hunter, G., Kawsar, F., Lotfi, A., Preuveneers, D., Binabdulrahman, A.W., Zamudio, V. (eds.) 9th International Conference on Intelligent Environments (IE 2013), July 18-19, pp. 84–91. IEEE, Athen (2013)CrossRefGoogle Scholar
  13. 13.
    Kröner, A., Haupert, J., Hauck, C., Deru, M., Bergweiler, S.: Fostering access to data collections in the internet of things. In: Narzt, W., Gordon-Ross, A. (eds.) UBICOMM 2013, The Seventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, pp. 65–68. IARIA (September 2013) (Best Paper Award)Google Scholar
  14. 14.
    Resatsch, F., Sandner, U., Leimeister, J.M., Krcmar, H.: Do point of sale RFID-Based information services make a difference? analyzing consumer perceptions for designing smart product information services in retail business. Electronic Markets 18(3), 216–231 (2008)CrossRefGoogle Scholar
  15. 15.
    Brandherm, B., Kröner, A., Haupert, J.: Incycling: Sustainable concept for instrumenting everyday commodities. In: Proceedings of the 2011 International Workshop on Networking and Object Memories for the Internet of Things, NoME-IoT 2011, pp. 27–28. ACM, New York (2011)CrossRefGoogle Scholar
  16. 16.
    Deru, M., Bergweiler, S.: Milky: On-product app for emotional product to human interactions. In: Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2013, pp. 552–557. ACM, New York (2013)CrossRefGoogle Scholar
  17. 17.
    Sen.se: Mother (January 2014), http://sen.se/store/mother (accessed at January 29, 2014)
  18. 18.
    Mühlhäuser, M.: Smart products: An introduction. In: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds.) Constructing Ambient Intelligence. CCIS, vol. 11, pp. 158–164. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  19. 19.
    Meyer, G.G., Främling, K., Holmström, J.: Intelligent products: A survey. Computers in Industry 60(3), 137–148 (2009)CrossRefGoogle Scholar
  20. 20.
    Gershenfeld, N.A.: When things start to think. Henry Holt, New York (1999)Google Scholar
  21. 21.
    Kröner, A., Haupert, J., GeaFernndez, J., Steffen, R., Kleegrewe, C., Schneider, M.: Supporting interaction with digital product memories. In: Wahlster, W. (ed.) SemProM. Cognitive Technologies, pp. 223–242. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  22. 22.
    German Federal Ministry of Education and Research and German Federal Ministry of Economics and Technology: Project of the future: Industry 4.0 (March 2013), www.bmbf.de/en/19955.php (accessed at January 29, 2014)
  23. 23.
    Carroll, A., Heiser, G.: An analysis of power consumption in a smartphone. In: Proceedings of the 2010 USENIX Conference on USENIX Annual Technical Conference, USENIXATC 2010, p. 21. USENIX Association, Berkeley (2010)Google Scholar
  24. 24.
    Niskanen, I., Kantorovitch, J.: Towards the future smart products systems design. In: 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 313–315 (2011)Google Scholar
  25. 25.
    Hodges, S., Taylor, S., Villar, N., Scott, J., Bial, D., Fischer, P.T.: Prototyping connected devices for the internet of things. Computer 46(2), 26–34 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sönke Knoch
    • 1
  • Matthieu Deru
    • 1
  • Simon Bergweiler
    • 1
  • Jens Haupert
    • 1
  1. 1.Research Department Intelligent User InterfacesGerman Research Center for Artificial IntelligenceSaarbrückenGermany

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